Robert Pontius

Professor

Clark University

United States

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Professor Robert Pontius is a faculty member at Clark University in the United States. His research focuses on urban land cover change, temporal quality analysis in remote sensing, and methodologies for land change modeling. His recent publications include works on Bayesian operating characteristic curves, classification assessment, and evaluating urban risks using various modeling approaches.

Articles (18)

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2025

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2025

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2025

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2021

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2021

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2021

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2020

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2020

Collaborators (4)

Florencia Sangermano

Assistant Professor

Clark University

UNITED STATES

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Jorge Rocha

Universidade de Aveiro

PORTUGAL

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Liliana Perez

Université de Montréal

CANADA

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Marco Millones Mayer

Associate Professor

University of Mary Washington

UNITED STATES

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Robert Pontius

Research Interests

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Contact this professor

About

Articles (18)

The Bayesian operating characteristic curve for feature analysis applied to urban land cover change

Accounting for alternation in temporal quality analysis in MapBiomas Brazil

A call to interpret disagreement components during classification assessment

DynamicPATCH: method and software for spatially explicit dynamic patch transition characterization

Best Practices for Applying and Interpreting the Total Operating Characteristic

Analyzing the Losses and Gains of a Land Category: Insights from the Total Operating Characteristic

Performance of CA_Markov and DINAMICA EGO models to evaluate urban risk in Antofagasta and Mejillones, Chile

Methods to compare sites concerning a category’s change during various time intervals

Four Fundamental Questions to Evaluate Land Change Models with an Illustration of a Cellular Automata–Markov Model

The Flow Matrix Offers a Straightforward Alternative to the Problematic Markov Matrix

Area method compared with Transect method to measure shoreline movement

A new framework to deal with the class imbalance problem in urban gain modeling based on clustering and ensemble models

Linking land change model evaluation to model objective for the assessment of land cover change impacts on biodiversity

Validating models of one-way land change: an example case of forest insect disturbance

Encoding a Categorical Independent Variable for Input to TerrSet’s Multi-Layer Perceptron

The Total Operating Characteristic from Stratified Random Sampling with an Application to Flood Mapping

Enhanced Intensity Analysis to Quantify Categorical Change and to Identify Suspicious Land Transitions: A Case Study of Nanchang, China

Effects of Category Aggregation on Land Change Simulation Based on Corine Land Cover Data

Collaborators (4)

Florencia Sangermano

Jorge Rocha

Liliana Perez

Marco Millones Mayer

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